Statistics for Data Analysis
Level: Beginner → IntermediateDuration: 30 hoursFormat: Online/Hybrid
Overview
Practical statistics for analysts: interpret KPIs, understand variability, analyze relationships, and make basic data-driven conclusions.
Who it's for
- •Learners who want to interpret data beyond charts
- •Power BI / SQL learners who need stronger reasoning
- •Professionals who want confidence in analytics decisions
What you'll learn
- •Descriptive statistics: mean/median, variance, standard deviation
- •Probability & distributions (analyst-focused)
- •Sampling intuition and why it matters in reporting
- •Correlation (interpretation + common pitfalls)
- •Intro to simple regression (concept + interpretation)
- •Hypothesis testing intuition (p-values, confidence, practical meaning)
- •KPI comparisons: period-over-period and understanding noise
Tools
Excel (for calculations)Power BI (for KPI context examples)Simple datasets
Outcomes
- •Interpret KPIs with statistical reasoning
- •Explain variability and relationships clearly
- •Make more confident, data-driven conclusions
Certificate
Upon successful completion, you will receive a professional certificate from Continuum X OÜ.